Pricing agency services is part science, part psychology, and part educated guesswork. Charge too little and you devalue the work. Charge too much without the right framing and you lose the deal before a conversation even starts. Most agencies price from intuition — a rough sense of what similar projects have cost in the past — rather than from a structured analysis of what the specific client in front of them can justify paying. Kaissa.nl adds a data layer to that judgment.
Rate cards are useful as a floor and a communication tool, but they are a poor basis for proposal pricing. A web redesign for a two-person consultancy and a web redesign for a thirty-person professional services firm are not the same project — not because the deliverables are different, but because the stakes, the review process, the sign-off chain, and the budget tolerance are all different. A single rate card treats them identically.
The result is systematic under-pricing for enterprise-adjacent clients and occasional over-pricing for smaller ones. Both cost you money — one immediately, one in deal conversion rate.
When you submit a client URL for proposal generation, Kaissa.nl's crawler extracts a set of signals that inform pricing context:
None of these signals is definitive on its own. Combined, they give the AI a meaningful basis for calibrating the investment section of the proposal to the client's likely reality — rather than defaulting to a generic range.
Based on the extracted signals and the proposed scope of work, Kaissa.nl suggests a pricing range for the investment section of the proposal. This range is structured around three tiers that you can choose between before sending:
Presenting three tiers in a single proposal is a well-established technique for increasing average deal value — clients anchor on the middle option, and a meaningful percentage choose the premium tier when the value difference is clearly articulated. Kaissa.nl structures the tier descriptions to make that value difference explicit.
The AI pricing suggestions work best when combined with your own rate data. You can upload a context file to Kaissa.nl containing your standard hourly rates, project minimums, package prices, or past project investment ranges. The AI incorporates this as a hard constraint — it will not suggest pricing below your stated minimums or above ranges you have flagged as outside your typical scope.
This context file can also include positioning language: how you frame value, what you include in your fees, and how you handle revisions and overruns. When this context is present, the investment section of the proposal reads consistently with how you talk about pricing in client conversations — not like it was generated by a system that has never met your clients.
The Kaissa.nl client portal presents pricing in a format designed to support decision-making rather than trigger sticker shock. Investment figures are presented after the scope of work — so the client understands what they are getting before they see what it costs. Tier options are presented side by side with clear feature differentiation. The acceptance button is adjacent to the investment section, reducing friction between decision and commitment.
These are not accidental design choices. The portal layout is informed by conversion research on B2B proposal formats, and it is tested against real proposal acceptance data from the Kaissa.nl platform.
Over time, the proposals you send through Kaissa.nl create a conversion dataset. You can see which price points convert at which rates, which industries respond to tiered pricing versus single-option proposals, and where in the investment range your deals stall. This data lives on your dashboard under Proposal Analytics and is available for any proposal sent in the last 12 months. It is the closest thing to a pricing feedback loop most agencies have ever had access to.